Low Rates of Reporting Race, Ethnicity, and Socioeconomic Status in Studies Published in Top Orthopaedic Journals

Demographic and Socioeconomic Patient Data Are Rarely Included in Randomized Controlled Trials for Femoral Acetabular Impingement and Hip Arthroscopy: A Systematic Review

Purpose

To determine the rate of reporting for sociodemographic variables in randomized controlled trials (RCTs) investigating femoral acetabular impingement (FAI) and hip arthroscopy.

Methods

PubMed, Scopus, and Web of Science were queried for articles relating to FAI and hip arthroscopy. Articles included in final analysis were RCTs investigating operative management of FAI. Included RCTs were analyzed for reporting of age and sex or gender as well as the following sociodemographic variables: race, ethnicity, insurance status, income, housing status, work status, and education level in the results section or any section of the paper. Data was analyzed using χ2 and Fisher exact tests with significance defined as P < .05.

Results

Forty-eight RCTs were identified from 2011 to 2023. Age was reported in 48 of 48 (100%) of included papers; sex or gender was reported in 47 of 48 (97.9%). Reporting of sociodemographic variables in any section respectively was: race (7/48, 14.6%), ethnicity (4/48, 8.33%), insurance status (0/48, 0%), income (1/48, 2.08%), housing status (0/48, 0%), work status (3/48, 6.25%), and education (2/48, 4.17%). There was no significant difference for reporting demographic variables with respect to journal or year of publication (P = .666 and P = .761, respectively). Sociodemographic variables (9/48) were reported significantly less frequently than age and sex or gender (48/48) (P < .001).

Conclusions

This study found that sociodemographic variables in FAI and hip arthroscopy RCTs are reported with much lower frequency than age and sex or gender. These findings may demonstrate the need to include patient sociodemographic data in RCTs so that their results can be better generalized and applied to the appropriate patient population.

Level of Evidence

Level II, systematic review of level I and II evidence.

Socioeconomic Status and Race Are Rarely Reported in Randomized Controlled Trials for Achilles Tendon Pathology in the Top 10 Orthopaedic Journals: A Systematic Review

Background

Randomized controlled trials (RCTs) are crucial in comparative research, and a careful approach to randomization methodology helps minimize bias. However, confounding variables like socioeconomic status (SES) and race are often underreported in orthopaedic RCTs, potentially affecting the generalizability of results. This study aimed to analyze the reporting trends of SES and race in RCTs pertaining to Achilles tendon pathology, considering 4 decades of data from top-tier orthopaedic journals.

Methods

This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and used PubMed to search 10 high-impact factor orthopaedic journals for RCTs related to the management of Achilles tendon pathology. The search encompassed all articles from the inception of each journal until July 11, 2023. Data extraction included year of publication, study type, reporting of SES and race, primary study location, and intervention details.

Results

Of the 88 RCTs identified, 68 met the inclusion criteria. Based on decade of publication, 6 articles (8.8%) reported on SES, whereas only 2 articles (2.9%) reported on race. No RCTs reported SES in the pre-1999 period, but the frequency of reporting increased in subsequent decades. Meanwhile, all RCTs reporting race were published in the current decade (2020-2030), with a frequency of 20%. When considering the study location, RCTs conducted outside the United States were more likely to report SES compared with those within the USA.

Conclusion

This review revealed a concerning underreporting of SES and race in Achilles tendon pathology RCTs. The reporting percentage remains low for both SES and race, indicating a need for comprehensive reporting practices in orthopaedic research. Understanding the impact of SES and race on treatment outcomes is critical for informed clinical decision making and ensuring equitable patient care. Future studies should prioritize the inclusion of these variables to enhance the generalizability and validity of RCT results.

Perioperative risk stratification tools for shoulder arthroplasty: a systematic review

BACKGROUND

Risk stratification tools are being increasingly utilized to guide patient selection for outpatient shoulder arthroplasty. The purpose of this study was to identify the existing calculators used to predict discharge disposition, postoperative complications, hospital readmissions, and patient candidacy for outpatient shoulder arthroplasty and to compare the specific components used to generate their prediction models.

METHODS

This review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocol. PubMed, Cochrane Library, Scopus, and OVID Medline were searched for studies that developed calculators used to determine patient candidacy for outpatient surgery or predict discharge disposition, the risk of postoperative complications, and hospital readmissions after anatomic or reverse total shoulder arthroplasty (TSA). Reviews, case reports, letters to the editor, and studies including hemiarthroplasty cases were excluded. Data extracted included authors, year of publication, study design, patient population, sample size, input variables, comorbidities, method of validation, and intended purpose. The pros and cons of each calculator as reported by the respective authors were evaluated.

RESULTS

Eleven publications met inclusion criteria. Three tools assessed patient candidacy for outpatient TSA, 3 tools evaluated the risk of 30- or 90-day hospital readmission and postoperative complications, and 5 tools predicted discharge destination. Four calculators validated previously constructed comorbidity indices used as risk predictors after shoulder arthroplasty, including the Charlson Comorbidity Index, Elixhauser Comorbidity Index, modified Frailty Index, and the Outpatient Arthroplasty Risk Assessment, while 7 developed newcalculators. Nine studies utilized multiple logistic regression to develop their calculators, while 1 study developed their algorithm based on previous literature and 1 used univariate analysis. Five tools were built using data from a single institution, 2 using data pooled from 2 institutions, and 4 from large national databases. All studies used preoperative data points in their algorithms with one tool additionally using intraoperative data points. The number of inputs ranged from 5 to 57 items. Four calculators assessed psychological comorbidities, 3 included inputs for substance use, and 1 calculator accounted for race.

CONCLUSION

The variation in perioperative risk calculators after TSA highlights the need for standardization and external validation of the existing tools. As the use of outpatient shoulder arthroplasty increases, these calculators may become outdated or require revision. Incorporation of socioeconomic and psychological measures into these calculators should be investigated.